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Data Scientist

CAVU
Manchester
3 weeks ago
Applications closed

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Join to apply for theData Scientistrole atCAVU

Join to apply for theData Scientistrole atCAVU

The Data Scientist role at CAVU is an exciting opportunity to be at the forefront of our data-driven transformation. Sitting within our centralised data team, you’ll act as an internal consultant across multiple business areas, developing models and data products that shape both operational and commercial decisions.

As a key member of the Data Science function, you’ll work closely with specialists in Data Engineering, BI, Analytics, and Data Governance to solve new and exciting problems — from customer personalisation models to forecasting and NLP use cases. You’ll help productionise scalable machine learning pipelines, support automation, and drive continuous improvements in our data science practices.

This is a fantastic opportunity for a curious, solutions-focused data scientist to help build out our capability, working with cutting-edge tools like Databricks, AWS data services, PySpark, and CI/CD pipelines.

What’s in it for you?

You’ll be joining a collaborative, supportive team with a real passion for data-led innovation. It’s a chance to help shape the future of data science at CAVU, contribute to best-in-class products, and see your work directly influence how we serve customers and partners around the world.

If you’re excited about problem-solving, experimenting with new ideas, and delivering real business impact — we’d love to hear from you.

About CAVU

For airports, for partners, for people. We are CAVU.

Formed from the union of MAGO, MAG USA and our network of direct-to-consumer brands — who together drive market-leading passenger spend for airports across the world — we’ve combined our resources to address evolving passenger needs today and exceed them tomorrow.

From our revenue-accelerating single platform technology,Propel, through to our world-class hospitality venues includingHangar,1903andEscape Lounges— our solutions make travel more seamless and enjoyable for passengers and more profitable for our clients and partners.

Our name is taken from the aviation meteorology term‘Ceiling and Visibility Unlimited’, which designates the perfect flying condition. More than just a name, CAVU is our mindset. It represents all that we stand for: our proud aviation heritage, our drive to push boundaries, and our mission to create seamless, enjoyable travel experiences.

Together, we can reach new heights. Together, we are CAVU.

About You:

  • 2–5 years of experience in Data Science or a related field
  • Strong programming skills inPythonandPySpark
  • Strong data science modelling skills across classification, regression, forecasting, and/or NLP
  • Analytical mindset with the ability to present insights to both technical and non-technical audiences
  • Experience deploying and maintaining ML pipelines withinDatabricks
  • Comfortable working withAWS data servicesand modern data architectures
  • Experience withCI/CD pipelinesand code versioning best practices

Preferred skills:

  • Familiarity withDatabricks Asset Bundles (DAB)for CI/CD and workflow orchestration
  • Experience withHarnessor similar deployment automation platforms

The Perks

  • 25 Days Holiday, with the option to buy up to 10 more, plus 4 flexible bank holidays
  • 10% Company Pension
  • Annual Bonus Scheme
  • 2 Weeks Work From Anywhere
  • MediCash Programme
  • On-site Gym
  • A Host of Flexible Benefits & Discounts

ED&I at CAVU

We are an equal opportunities employer. We do not discriminate based on religion, race, colour, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status.

We also understand that some demographics may be less likely to apply unless they meet every single requirement listed. If you’re reading this and don’t tick every box — please still make yourself known to us. We’d love to hear from you.

If you require reasonable adjustments to participate in the interview process, please contact us to request assistance.

Are you ready to reach new heights? Apply via the link.

Seniority level

  • Seniority levelMid-Senior level

Employment type

  • Employment typeFull-time

Job function

  • Job functionInformation Technology
  • IndustriesTechnology, Information and Internet and Airlines and Aviation

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